The pinnacle of study of industrial research and decision-making.
Research Methods and Experimental Design
This course content focuses on two major topical areas: first is Research Methods and second Experimental design with a focus on industrial research experimentation involving single treatment (experimental) factors. The Research Methods block covers designing research studies, research types along with their similarities and differences (experimental vs quasi-experimental vs non-experimental or observational studies), research validity and protecting research from threats to both internal and external validity. A disciplined sequence of steps for designing industrial research studies is provided and it is integrated into the procedures for testing statistical hypotheses. The second block covers specific experimental designs frequently used in industrial research. The designs covered all involve a single treatment or experimental factor (One-Way designs). The Analysis of Variance is introduced along with post hoc analysis featuring a variety of methods for simple one-way designs. The various experimental designs studied are a simple one-way design, for both fixed and random factors, for blocked designs (involving blocking on specimens, as well as blocking on a potential nuisance factor). For repeated measures designs the topic of Measurement Systems Analysis (MSA) is presented and serves as the vehicle for understanding repeated measures designs. Other “blocked” designs, to include Latin Squares are briefly covered. Nonparametric procedures for all data types are covered for independent- and dependent-groups designs as well. Statistical procedures are also presented for the assessment of the nature and strength of relationships (correlation and or association) between two variables.
Again, due to the VERY applied nature of the course the necessity for testing hypotheses for shape, and dispersion, as well as location (means) are covered, and alternative procedures that are to be used when assumptions of statistical tests are encountered, are also covered. A rigid requirement for this course is EMEN 5005, or demonstrated proficiency of the EMEN 5005 content material by way of a proficiency exam.
Professor of Engineering Practice
Office: ECOT 414
Dr. Ray Littlejohn joined the EMP in August, 2012 as an Associate Professor of Engineering Practice and the W. E. Deming Professor of Management. Dr. Littlejohn received his PhD in Applied Statistics from the University of Oklahoma in 1977. Subsequently he began a teaching career at North Central College and began consulting with The R Group, LTD in the areas of Market Research and Forecasting. After approximately 5 years of teaching and consulting Dr. Littlejohn joined Sealed Power Corporation as a statistician where he introduced the use of SPC and Experimental Design. He was subsequently promoted to Quality Assurance Manager for Sealed Power Division of Sealed Power Corporation.
In 1982 Dr. Littlejohn joined Luftig & Warren International, Inc. a consulting firm that specialized in providing consulting services and training in all areas of the Quality Sciences throughout North and South America, Asia, and Europe. His work as a senior consultant with LWI involved the entire breadth of topics in the areas of business and quality improvement, including product and process improvement through the application of sophisticated problem solving techniques and advanced statistical and research methods. He also provided training to the firm’s many clients in all aspects of the application of statistics, and business and industrial research methodologies through 1998.
After leaving LWI, Dr. Littlejohn’s consulting activities included training and consulting activities in experimental design and industrial research, customer survey analysis, business system development and improvement, business, manufacturing and administrative product and process improvement, process control, and statistical start-ups. Dr. Littlejohn provided these services to businesses engaged in metal processing, food and beverage, electronics / high tech manufacturing and assembly, ink and chemical, automotive and truck suppliers, mining, HMO service and miscellaneous other industries.